mlsanityData to 7 Oct 2026

Occlusion Handling in Generic Object Detection: A Review

arXiv 2101.08845 ↗First posted 21 Jan 2021cs.CV cs.AIcited by 25

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Abstract (arXiv)

The significant power of deep learning networks has led to enormous development in object detection. Over the last few years, object detector frameworks have achieved tremendous success in both accuracy and efficiency. However, their ability is far from that of human beings due to several factors, occlusion being one of them. Since occlusion can happen in various locations, scale, and ratio, it is very difficult to handle. In this paper, we address the challenges in occlusion handling in generic object detection in both outdoor and indoor scenes, then we refer to the recent works that have been carried out to overcome these challenges. Finally, we discuss some possible future directions of research.

Key facts. Cited by 25 papers in the map (data through 7 Oct 2026). Builds on 38 of its 75 references that are in the map. First posted on arXiv 21 Jan 2021.

Builds on

38 of 75 references.

References · 38

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  3. 2014Microsoft COCO: Common Objects in Contextcited by 17,498
  4. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
  5. 2015You Only Look Once: Unified, Real-Time Object Detectioncited by 4,829
  6. 2015SSD: Single Shot MultiBox Detectorcited by 3,125
  7. 2014Conditional Generative Adversarial Netscited by 2,152
  8. 2017Improved Regularization of Convolutional Neural Networks with Cutoutcited by 1,623
  9. 2017Deformable Convolutional Networkscited by 1,481
  10. 2016Context Encoders: Feature Learning by Inpaintingcited by 1,424
  11. 2019Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Datacited by 532
  12. 2018Object Detection with Deep Learning: A Reviewcited by 524
26 more
  1. 2018Deep Learning for Generic Object Detection: A Surveycited by 392
  2. 2017Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detectioncited by 209
  3. 2015Semantic Amodal Segmentationcited by 102
  4. 2020Self-Supervised Scene De-occlusioncited by 96
  5. 2016Amodal Instance Segmentationcited by 63
  6. 2018Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentationcited by 62
  7. 2017SeGAN: Segmenting and Generating the Invisiblecited by 60
  8. 2018Occlusion-aware R-CNN: Detecting Pedestrians in a Crowdcited by 58
  9. 2020Robust Object Detection under Occlusion with Context-Aware CompositionalNetscited by 54
  10. 2017Synthesizing Training Data for Object Detection in Indoor Scenescited by 48
  11. 2020Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusioncited by 47
  12. 2017A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detectioncited by 43
  13. 2020A survey of face recognition techniques under occlusioncited by 38
  14. 2020Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusioncited by 38
  15. 2019Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusioncited by 24
  16. 2018MVTec D2S: Densely Segmented Supermarket Datasetcited by 20
  17. 2014DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detectioncited by 19
  18. 2019Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Modelscited by 18
  19. 2019Object Finding in Cluttered Scenes Using Interactive Perceptioncited by 18
  20. 2018Faster Bounding Box Annotation for Object Detection in Indoor Scenescited by 11
  21. 2019Seeing Behind Things: Extending Semantic Segmentation to Occluded Regionscited by 11
  22. 2017Faceness-Net: Face Detection through Deep Facial Part Responsescited by 8
  23. 2020Instance Segmentation of Visible and Occluded Regions for Finding and Picking Target from a Pile of Objectscited by 8
  24. 2017Detecting Semantic Parts on Partially Occluded Objectscited by 6
  25. 2017SeeThrough: Finding Chairs in Heavily Occluded Indoor Scene Imagescited by 6
  26. 2018SymmNet: A Symmetric Convolutional Neural Network for Occlusion Detectioncited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 4; 2023: 4; 2024: 8; 2025: 5; 2026: 3.

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  1. 2021Behind the Curtain: Learning Occluded Shapes for 3D Object Detectioncited by 58
  2. 2023COCO-O: A Benchmark for Object Detectors under Natural Distribution Shiftscited by 34
  3. 2024A survey of synthetic data augmentation methods in computer visioncited by 34
  4. 2022A Tri-Layer Plugin to Improve Occluded Detectioncited by 21
  5. 2022Image Amodal Completion: A Surveycited by 18
  6. 2023NOMAD: A Natural, Occluded, Multi-scale Aerial Dataset, for Emergency Response Scenarioscited by 4
  7. 2024Point2Graph: An End-to-end Point Cloud-based 3D Open-Vocabulary Scene Graph for Robot Navigationcited by 4
  8. 2022The Impact of Partial Occlusion on Pedestrian Detectabilitycited by 2
  9. 2023ICON2: Reliably Benchmarking Predictive Inequity in Object Detectioncited by 2
  10. 2024Efficient Biological Data Acquisition through Inference Set Designcited by 2
  11. 2025TOTNet: Occlusion-Aware Temporal Tracking for Robust Ball Detection in Sports Videoscited by 2
  12. 2022BBBD: Bounding Box Based Detector for Occlusion Detection and Order Recoverycited by 1
13 more
  1. 2024Latent Enhancing AutoEncoder for Occluded Image Classificationcited by 1
  2. 2025BBoxCut: A Targeted Data Augmentation Technique for Enhancing Wheat Head Detection Under Occlusionscited by 1
  3. 2025SynSpill: Improved Industrial Spill Detection With Synthetic Datacited by 1
  4. 2025GPT-4 for Occlusion Order Recoverycited by 1
  5. 2023Investigating the Robustness and Properties of Detection Transformers (DETR) Toward Difficult Imagescited by 0
  6. 2024Mask Guided Gated Convolution for Amodal Content Completioncited by 0
  7. 2024Improving Apple Object Detection with Occlusion-Enhanced Distillationcited by 0
  8. 2024OccludeNet: A Causal Journey into Mixed-View Actor-Centric Video Action Recognition under Occlusionscited by 0
  9. 2024Psych-Occlusion: Using Visual Psychophysics for Aerial Detection of Occluded Persons during Search and Rescuecited by 0
  10. 2025Break Out the Silverware -- Semantic Understanding of Stored Household Itemscited by 0
  11. 2026Tiny Collaborative Inference for Occlusion-Robust Object Detectioncited by 0
  12. 2026Evolution of Accuracy and Visual-Cognitive Errors in a Decade of Vision-Language AI Modelscited by 0
  13. 2026RealOOB: A Definition-Consistent Real-World Oriented Occlusion Boundary Benchmarkcited by 0